| Semiparametric regression analysis of clustered survival data with semi-competing risks M Peng, L Xiang, S Wang Computational Statistics & Data Analysis 124, 53-70, 2018 | 52 | 2018 |
| Robust weighted SVD-type latent factor models for rating prediction Y Gu, X Yang, M Peng, G Lin Expert Systems with Applications 141, 112885, 2020 | 22 | 2020 |
| Frailty modelling approaches for semi-competing risks data ID Ha, L Xiang, M Peng, JH Jeong, Y Lee Lifetime data analysis 26, 109-133, 2020 | 12 | 2020 |
| Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data M Peng, L Xiang Statistical Methods in Medical Research 30 (11), 2428-2446, 2021 | 10 | 2021 |
| Joint regression analysis for survival data in the presence of two sets of semi‐competing risks M Peng, L Xiang Biometrical Journal 61 (6), 1402-1416, 2019 | 8 | 2019 |
| Analysis of complex survival data subject to semi-competing risks M Peng | 5 | 2019 |
| Disease progression based feature screening for ultrahigh‐dimensional survival‐associated biomarkers M Peng, L Xiang Statistics in Medicine 42 (13), 2082-2100, 2023 | | 2023 |
